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Author

Catrina Chivu

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Open access 2026

Design and Verification of an Interpretable Low-Code Maintenance Decision Support Application for Automotive Assembly

Industrial maintenance digitalization is often associated with sensor-rich predictive models, yet brownfield factories may first need reliable decision support from sparse historical records and familiar software. This study designs and verifies an interpretable low-code application for maintenance scenario assessment...

Adriana Aldea, A. Florescu, Catrina Chivu · 0 citations
2026

Improving Reliability of an Automotive Robotic Assembly Workstation through Mechanical Redesign and Automation Optimization

The increasing level of automation in the automotive industry has significantly improved manufacturing productivity, product quality, and operational consistency. However, highly automated production systems require efficient maintenance strategies to ensure equipment availability and minimize production downtime. This...

Adriana Aldea, A. Florescu, Catrina Chivu · 0 citations

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